AIMC Topic: Knowledge Bases

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Research on Keyword Extraction Algorithm in English Text Based on Cluster Analysis.

Computational intelligence and neuroscience Mar 28, 2022
How to facilitate users to quickly and accurately search for the text information they need is a current research hotspot. Text clustering can improve the efficiency of information search and is an effective text retrieval method. Keyword extraction ...
Algorithms Machine Learning Cluster Analysis Models, Statistical Humans Knowledge Bases
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Learning to Reason on Tree Structures for Knowledge-Based Visual Question Answering.

Sensors (Basel, Switzerland) Feb 17, 2022
Collaborative reasoning for knowledge-based visual question answering is challenging but vital and efficient in understanding the features of the images and questions. While previous methods jointly fuse all kinds of features by attention mechanism o...
Neural Networks, Computer Knowledge Bases Problem Solving Semantics Learning
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Defining clinical outcome pathways.

Drug discovery today Feb 16, 2022
Here, we propose a broad concept of 'Clinical Outcome Pathways' (COPs), which are defined as a series of key molecular and cellular events that underlie therapeutic effects of drug molecules. We formalize COPs as a chain of the following events: mole...
Knowledge Bases Drug Repositioning Knowledge Drug Discovery
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Cross-Modal Object Detection Based on a Knowledge Update.

Sensors (Basel, Switzerland) Feb 10, 2022
As an important field of computer vision, object detection has been studied extensively in recent years. However, existing object detection methods merely utilize the visual information of the image and fail to mine the high-level semantic informatio...
Semantics Knowledge Knowledge Bases Algorithms Neural Networks, Computer
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A knowledge graph to interpret clinical proteomics data.

Nature biotechnology Jan 31, 2022
Implementing precision medicine hinges on the integration of omics data, such as proteomics, into the clinical decision-making process, but the quantity and diversity of biomedical data, and the spread of clinically relevant knowledge across multiple...
Algorithms Proteomics Precision Medicine Pattern Recognition, Automated Machine Learning Decision Making, Computer-Assisted Knowledge Bases
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Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation.

Journal of biomedical semantics Jan 31, 2022
BACKGROUND: Electronic Laboratory Notebooks (ELNs) are used to document experiments and investigations in the wet-lab. Protocols in ELNs contain a detailed description of the conducted steps including the necessary information to understand the proce...
Semantic Web Electronics Retrospective Studies Documentation Knowledge Bases
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TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction.

Computational intelligence and neuroscience Jan 25, 2022
When TextRank algorithm based on graph model constructs graph associative edges, the co-occurrence window rules only consider the relationships between local terms. Using the information in the document itself is limited. In order to solve the above ...
Problem Solving Knowledge Bases Algorithms Cluster Analysis
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Combined strategy of knowledge-based rule selection and historical data percentile-based range determination to improve an autoverification system for clinical chemistry test results.

Journal of clinical laboratory analysis Jan 10, 2022
BACKGROUND: Current autoverification, which is only knowledge-based, has low efficiency. Regular historical data analysis may improve autoverification range determination. We attempted to enhance autoverification by selecting autoverification rules b...
Clinical Chemistry Tests Medical Informatics Applications Automation, Laboratory Knowledge Bases Feasibility Studies Humans Artificial Intelligence
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End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.

Journal of biomedical semantics Jan 6, 2022
BACKGROUND: The advancement of science and technologies play an immense role in the way scientific experiments are being conducted. Understanding how experiments are performed and how results are derived has become significantly more complex with the...
Reproducibility of Results Semantic Web Semantics Knowledge Bases
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Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge.

BMC medical informatics and decision making Dec 30, 2021
OBJECTIVE: Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from researchers, especially RE at the document-level. We aim to explore an effective novel method for document-level med...
Natural Language Processing Knowledge Bases Neural Networks, Computer Humans Research Design
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